c4-matlab

base_band.rar文件解压后可以在matlab平台直接编译运行，实现通信系统的升余弦基带 成型处理，码元速率，采样率、滚降系数都可以灵活设置，特别方便学习通信的同学加深对基带信号的理解。(base_band.rar unzip the files can directly compile and run matlab platform to achieve communication system raised cosine baseband shaping processing, chip rate, sample rate, roll-off factor can be set flexibly, in particular, to facilitate students to learn to communicate better to the base band signal understanding.)

说明：  这个程序是m序列发生器,它能产生M序列 程序简明扼要 容易运行(This procedure is m sequence generator, it can produce concise and easy to process M running sequence)

A matlab source code in digital image processing using the smoothing and sharpening filers

通过matlab仿真验证HDB3码的原理,分析HDB3码的优缺点. (HDB3 code by matlab simulation principle, analyze the advantages and disadvantages HDB3 code.)

总结的混合粒子群算法、蚁群算法、遗传算法求TSP（旅行商问题）,值得看一看(Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look)

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier

运用matlab软件，利用遗传算法解决VRP问题( using genetic algorithms to solve the problem of VRP)

4自适应帧预测凹形可伸缩视频编码——icme01(4Adaptive frame prediction for foveation scalable video coding--icme01 )

this code is usefull to calcule the hydraulics properties for a given cross section or batymetric. Also plot the manning properties vs de hydraulic depth

ActiveModels contains a Matlab toolset and examples for training and fitting AAMs (Active Appearance Models). Please refer to the code and included examples for its function. You must have an annotated database to use its features.